Opinion Content Extraction from Web Pages Using Embedded Semantic Term Tree Kernels-Reference-Cited by-同舟云学术

Opinion Content Extraction from Web Pages Using Embedded Semantic Term Tree Kernels

Published:2017-12-21 Issue: Volume: Page:345-358
ISSN:2367-4512
Container-title:Proceedings of International Conference on Computational Intelligence and Data Engineering
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Author:

Pagi Veerappa B.,Wadawadagi Ramesh S.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-6319-0_29

Reference31 articles.

1. Carsten Ullrich et al., Why web 2.0 is good for learning and for research: principles and prototypes, Proceedings of the 17th International Conference on World Wide Web, Beijing, China. 705–714 (2008).

2. Bower, M, Deriving a typology of Web 2.0 learning technologies, British Journal of Educational Technology. 47 (4) 763–777 (2016).

3. Jakub Piskorski and Roman Yangarber, Information Extraction: Past, Present and Future, Multi-source, Multilingual Information Extraction and Summarization Part of the series Theory and Applications of Natural Language Processing, Springer, 23–49 (2012).

4. Sebastian A. R., Felipe A., Web Intelligence on the Social Web, Advanced techniques in Web intelligence-1, SCI311, Springer, (2010) 225–249.

5. Ricardo B. Y., Paolo B., Web Structure Mining, Advanced techniques in Web intelligence-1, SCI311, Springer, 113–142 (2010).

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